Make your productself-healing
Jina proactively monitors your product for issues and fixes them before your users face them.
Proactive monitoring
Catch more real issues as they happen.
- Updates instrumentation and monitoring automatically with every commit
- Coverage stays current as your codebase evolves
- Catches issues that static, manually configured monitors miss
feat: add payment retry logic for failed transactions
#847 opened by @sarah-dev
+ async function retryPayment(txId: string) {
+ const tx = await getTransaction(txId);
+ if (tx.attempts >= MAX_RETRIES) throw new Error(...);
+ return processPayment(tx);
+ }
Tracks p95 response time for the new retryPayment() endpoint. Alerts if latency exceeds 2s during retry storms.
Monitors the ratio of failed retries to total attempts. Fires when failure rate exceeds 15% over a 5-minute window.
Watches pending retry queue size. Alerts if backlog grows beyond 500 items, indicating downstream payment provider issues.
Structured logging added
Added logging across the retry flow — captures transaction_id, attempt_count, and failure_reason at each step. This enables faster debugging when retries fail and feeds the monitors above with the data they need.
Intelligent triaging
Your team only sees alerts that actually need attention.
- Assesses each alert to filter out false positives
- Groups related alerts into a single issue so you act once
- Tunes monitoring rules based on what it learns over time
Checkout flow degraded — upstream payment provider timeout
Stripe's payment processing endpoint is responding slowly (p95 > 8s), causing cascading timeouts across the checkout service. Users on the /checkout page are seeing failures and 504s. The root cause is external — Stripe's payment_intent.create latency spiked at 14:01 UTC.
P95 latency spike on /api/checkout
TimeoutError in PaymentService.charge()
Checkout error rate > 5% threshold
ELB 504 count elevated — us-east-1
Webhook delivery failures — payment_intent.succeeded
Root cause and fix
Go from alert to fix without the investigation overhead.
- Identifies root cause using context from your system and codebase
- Suggests a fix and opens a draft PR when needed
- Hands off to you or your coding agents to take it from there
Users receiving empty order confirmation emails
Order confirmation emails are being sent with blank order details. Affects ~12% of orders placed in the last 2 hours. No errors in application logs — emails are delivered successfully but with missing template data.
PR #831 refactored the order serializer and renamed line_items to order_items, but the email template still references the old field name. The template renders without error — it just resolves to null, producing a blank section.
Update the email template (templates/order-confirmation.hbs) to reference order_items instead of line_items. Two other templates use the same field and also need updating.
fix: update email templates to use renamed order_items field
#852 opened by @jina-bot
Resolves JINA-1087
Updates three email templates that still reference the old line_items field after the serializer rename in #831. This fixes blank order details in confirmation emails.
<h2>Your Order</h2>
- {{ #each line_items }}
+ {{ #each order_items }}
<div class="item">
<span>{{ this.name }}</span>
Why Jina
Beyond generic AI agents
Coding agents and CLI tools can write code, but they operate blind when things break in production. Jina understands your system's architecture and has all the data it needs to investigate — no guessing, no manual wiring.
Live service topology
- Automatically maps services, databases, queues, and their connections into a live dependency graph
- Graph stays current with every deploy — no manual configuration
- Traces blast radius across connected services instantly when incidents occur
- No guessing which services are related — Jina already knows what's upstream, downstream, and affected
Unified log intelligence
- Aggregates logs from APM, error tracking, cloud providers, and third-party services into one correlated timeline
- Agents investigate a single unified dataset — no context-switching between tools
- Cross-system incidents (a Datadog spike + CloudWatch timeout + Sentry exception) are automatically recognized as one issue
- Eliminates the gap where agents independently query each system and hope they don't miss the connection
Plugs into your existing
monitoring and dev stack.
Works alongside your coding agents so nothing changes about how you ship.
Enterprise-Grade Security
Jina is built with security at its core, ensuring your applications and data remain protected.
Secure by Design
Jina operates with strict permissions and never stores sensitive data outside your environment.
Data Privacy
Your application data never leaves your infrastructure. Tests run in your secure environment.
Compliance Ready
Designed to help meet compliance requirements for regulated industries.
Private Deployment
Deploy Jina in your own infrastructure for complete control and security.
Frequently asked questions
Jina automatically updates instrumentation and monitoring with every commit to your codebase. It analyzes code changes to understand what new functionality was added, then creates the appropriate monitors and logging. This means coverage stays current as your codebase evolves, catching issues that static, manually configured monitors would miss.
Jina integrates with your repository through standard GitHub or GitLab permissions. It reads your code changes to understand what monitors and logging to create, but your source code never leaves your secure environment. You control exactly what level of access Jina has.
When an incident occurs, it often triggers alerts across multiple tools — your APM, error tracker, cloud provider, and third-party services. Jina correlates these alerts by analyzing timing, affected services, and causal relationships, then groups them into a single actionable issue instead of flooding your team with duplicate investigations.
When Jina identifies the root cause of an issue, it can suggest a fix and open a draft pull request for your team to review. It never merges changes automatically — your team always has final review and approval before any fix goes to production.
Jina integrates with popular observability and alerting tools including Datadog, Sentry, PagerDuty, CloudWatch, Grafana, and more. It pulls alerts from your existing tools and pushes the monitors it creates to your preferred platform.
Most teams are up and running in under 15 minutes. You connect your repository, configure which monitoring tools to integrate with, and Jina begins analyzing your codebase. It starts creating monitors and improving coverage from the first commit it sees.
Yes. Jina is designed for teams of all sizes and scales with your codebase. For enterprise deployments, we offer private infrastructure deployment, custom integrations, and dedicated support. Contact us to learn more about enterprise plans.